elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Accessibility | Contact | Deutsch
Fontsize: [-] Text [+]

Forest Fragmentation in Bavaria: A First-Time Quantitative Analysis Based on Earth Observation Data

Coleman, Kjirsten Elizabeth Robyne and Kuenzer, Claudia (2025) Forest Fragmentation in Bavaria: A First-Time Quantitative Analysis Based on Earth Observation Data. Remote Sensing, 17 (15), 1- 29. Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs17152558. ISSN 2072-4292.

[img] PDF - Published version
6MB

Official URL: https://www.mdpi.com/2072-4292/17/15/2558

Abstract

Anthropogenic and climatic pressures can transform contiguous forests into smaller, less connected fragments. Forest biodiversity and ecosystem functioning can furthermore be compromised or enhanced. We present a descriptive analysis of forest fragmentation in Bavaria, the largest federal state in Germany. We calculated 22 metrics of fragmentation using forest polygons, aggregated within administrative units and with respect to both elevation and aspect orientation. Using a forest mask from September 2024, we found 2.384 million hectares of forest across Bavaria, distributed amongst 83,253 forest polygons 0.1 hectare and larger. The smallest patch category (XS, <25 ha) outnumbered all other size classes by nearly 13 to 1. Edge zones accounted for more than 1.68 million hectares, leaving less than 703,000 hectares as core forest. Although south-facing slopes dominated the state, the highest forest cover (~36%) was found on the least abundant east-oriented slopes. Most of the area is located at 400–600 m.a.s.l., with around 30% of this area covered by forests; however, XL forest patches (>3594 ha) dominated higher elevations, covering 30–60% of land surface area between 600 and 1400 m.a.s.l. The distribution of the largest patches follows the higher terrain and corresponds well to protected areas. K-means clustering delineated 3 clusters, which corresponded well with the predominance of patchiness, aggregation, and edginess within districts.

Item URL in elib:https://elib.dlr.de/215478/
Document Type:Article
Title:Forest Fragmentation in Bavaria: A First-Time Quantitative Analysis Based on Earth Observation Data
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Coleman, Kjirsten Elizabeth RobyneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Kuenzer, ClaudiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:23 July 2025
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:17
DOI:10.3390/rs17152558
Page Range:1- 29
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:remote sensing; disturbance; forest loss; Germany; landscape ecology; temperate forest; bark beetle; central Europe; forest management
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Coleman, Kjirsten Elizabeth Robyne
Deposited On:31 Jul 2025 09:38
Last Modified:31 Jul 2025 09:38

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
OpenAIRE Validator logo electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.